Performance Evaluation of Millimeter-Wave Massive MU-MIMO for High-Efficiency Wireless Communications in Underground Mines

Kunde Santhosh Kumar M.Tech (Ph. D), M. Sainath Naik, G. Rupa Kiran, S. Anis Ahammad, G. Reddy Prasanna and B. Sivasankar

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 661-672

Abstract: This study investigates the performance of a large multiuser multiple-input multiple-output (MU-MIMO) millimeter-wave (mmWave) communication system in an underground mine environment using a base station equipped with 128 antennas. The analysis is based on channel measurements conducted at 28 GHz, where a virtual antenna array at the base station serves multiple users. Key channel parameters, including large-scale path loss, temporal dispersion, coherence bandwidth, and sum-rate capacity, are examined and evaluated. The findings indicate that a multislope path loss model provides a more accurate representation of path loss across different propagation segments within the mining gallery. The time dispersion analysis reveals that 90% of the root-mean-square (RMS) delay spreads are below 4 ns, suggesting minimal time dispersion in the underground mine channel. Additionally, the results demonstrate that the RMS delay spread remains independent of the propagation distance. The sum-rate capacity analysis highlights the potential of massive MIMO technology in enhancing spectral efficiency. The study shows that the achievable capacity can reach up to 33.54 bit/s/Hz with eight active users. The unique characteristics of deep mine environments, such as rich scattering and irregular topology, are also discussed. These results provide valuable insights into the propagation behaviour of mmWave channels in underground mines, contributing to the optimization of wireless communication systems in such challenging environments.

Keywords: Millimeter-Wave (mmWave) Communication; Massive MU-MIMO; Underground Mine Wireless Networks; Channel Propagation Modeling; Spectral Efficiency Optimization; Path Loss and Delay Spread Analysis (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST251222610 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST251222610/IJSRST251222610 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:713

DOI: 10.32628/IJSRST251222610

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().